Research on the waiting area selection behavior of passengers at urban rail platforms

Passenger choices regarding platform waiting locations are influenced by a range of factors. This study explores passenger behavior in selecting train waiting areas by developing a model based on Logit modeling. Through the use of survey data from a station on Xi'an Metro Line 2, the parameters for the Logit model were established. The results indicate that the distance between the platform entrance and waiting area, the degree of congestion among passengers in the area of waiting, degree of visibility of the waiting area, and other factors all play significant roles in passengers' selection of waiting location. This model is intended to effectively fit passenger distribution on station platforms and provides valuable insights for enhancing operational efficiency within urban rail transit systems.

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Published
2025-04-28
DOI
https://doi.org/10.1117/12.3060825
Primary Topic
Evacuation and Crowd Dynamics
Type
article
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article

Research on the waiting area selection behavior of passengers at urban rail platforms

Jing Zuo, Ming Zhang
Evacuation and Crowd Dynamics
article

Research on the waiting area selection behavior of passengers at urban rail platforms

Jing Zuo, Ming Zhang
article en

Abstract

Passenger choices regarding platform waiting locations are influenced by a range of factors. This study explores passenger behavior in selecting train waiting areas by developing a model based on Logit modeling. Through the use of survey data from a station on Xi'an Metro Line 2, the parameters for the Logit model were established. The results indicate that the distance between the platform entrance and waiting area, the degree of congestion among passengers in the area of waiting, degree of visibility of the waiting area, and other factors all play significant roles in passengers' selection of waiting location. This model is intended to effectively fit passenger distribution on station platforms and provides valuable insights for enhancing operational efficiency within urban rail transit systems.

Lanzhou Jiaotong University (CN)
Sustainable cities and communities
Openalex Percentile: Top 89%
Evacuation and Crowd Dynamics
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